class_docstr: Wrapper around tensorflow optimizer.
class_docstr_tok: ["Wrapper","around","tensorflow","optimizer","."]
code: def from_config(cls, config):
      new_config = {}
      new_config["class_name"] = config["name"]
  
      del config["name"]
      new_config["config"] = config
      optimizer = tf.keras.optimizers.get(new_config)
      return optimizer
  
file_path: AmpliGraph/ampligraph/latent_features/optimizers.py
imports: import abc
  import logging
  import six
  import tensorflow
label_desc: Use image node_id 12 for calling the OptimizerWrapper obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: optimizer